FairBatch: Batch Selection for Model Fairness

3 December 2020

Papers citing "FairBatch: Batch Selection for Model Fairness"

50 / 74 papers shown

Title
Towards Fair In-Context Learning with Tabular Foundation Models Patrik Kenfack Samira Ebrahimi Kahou Ulrich Aïvodji 39 0 0 14 May 2025
Learning Heterogeneous Performance-Fairness Trade-offs in Federated Learning Rongguang Ye Ming Tang FedML 53 0 0 30 Apr 2025
FAIR-SIGHT: Fairness Assurance in Image Recognition via Simultaneous Conformal Thresholding and Dynamic Output Repair Arya Fayyazi M. Kamal Massoud Pedram 33 0 0 10 Apr 2025
LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning Lihe Zhang Chaochao Chen Zhongxuan Han Qiyong Zhong Xiaolin Zheng FedML 63 0 0 21 Mar 2025
Fair Text Classification via Transferable Representations Thibaud Leteno Michael Perrot Charlotte Laclau Antoine Gourru Christophe Gravier FaML 90 0 0 10 Mar 2025
Do Fairness Interventions Come at the Cost of Privacy: Evaluations for Binary Classifiers Huan Tian Guangsheng Zhang Bo Liu Tianqing Zhu Ming Ding Wanlei Zhou 58 0 0 08 Mar 2025
AFed: Algorithmic Fair Federated Learning Huiqiang Chen Tianqing Zhu Wanlei Zhou Wei Zhao FedML 39 0 0 06 Jan 2025
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness Xiaochuan Gong Jie Hao Mingrui Liu 62 3 0 31 Dec 2024
Fairness without Demographics through Learning Graph of Gradients Yingtao Luo Zerui Li Qiang Liu Jun Zhu 101 0 0 31 Dec 2024
WassFFed: Wasserstein Fair Federated Learning Zhongxuan Han Lihe Zhang C. L. Philip Chen Xiaolin Zheng Fei Zheng Yuyuan Li Jianwei Yin FedML 45 0 0 11 Nov 2024
Will the Inclusion of Generated Data Amplify Bias Across Generations in Future Image Classification Models? Zeliang Zhang Xin Liang Mingqian Feng Susan Liang Chenliang Xu 44 1 0 14 Oct 2024
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning Jiashi Gao Ziwei Wang Xiangyu Zhao Xin Yao Xuetao Wei 30 0 0 09 Oct 2024
Fair Class-Incremental Learning using Sample Weighting Jaeyoung Park Minsu Kim Steven Euijong Whang 38 0 0 02 Oct 2024
Achieving Fairness Across Local and Global Models in Federated Learning Disha Makhija Xing Han Joydeep Ghosh Yejin Kim FedML 41 5 0 24 Jun 2024
On the Maximal Local Disparity of Fairness-Aware Classifiers Jinqiu Jin Haoxuan Li Fuli Feng 50 3 0 05 Jun 2024
Fairness Without Demographics in Human-Centered Federated Learning Shaily Roy Harshit Sharma Asif Salekin 56 2 0 30 Apr 2024
Reducing Bias in Pre-trained Models by Tuning while Penalizing Change Niklas Penzel Gideon Stein Joachim Denzler 33 0 0 18 Apr 2024
PraFFL: A Preference-Aware Scheme in Fair Federated Learning Rongguang Ye Wei-Bin Kou Ming Tang FedML 38 5 0 13 Apr 2024
An ExplainableFair Framework for Prediction of Substance Use Disorder Treatment Completion Mary M. Lucas Xiaoyang Wang Chia-Hsuan Chang Christopher C. Yang Jacqueline E. Braughton Quyen M. Ngo FaML 45 2 0 04 Apr 2024
VTruST: Controllable value function based subset selection for Data-Centric Trustworthy AI Soumili Das Shubhadip Nag Shreyyash Sharma Suparna Bhattacharya Sourangshu Bhattacharya 37 0 0 08 Mar 2024
Falcon: Fair Active Learning using Multi-armed Bandits Ki Hyun Tae Hantian Zhang Jaeyoung Park Kexin Rong Steven Euijong Whang FaML 14 2 0 23 Jan 2024
A Large-Scale Empirical Study on Improving the Fairness of Image Classification Models Junjie Yang Jiajun Jiang Zeyu Sun Junjie Chen 34 2 0 08 Jan 2024
TrojFair: Trojan Fairness Attacks Meng Zheng Jiaqi Xue Yi Sheng Lei Yang Qian Lou Lei Jiang 20 3 0 16 Dec 2023
Mitigating Label Bias in Machine Learning: Fairness through Confident Learning Yixuan Zhang Boyu Li Zenan Ling Feng Zhou FaML 16 3 0 14 Dec 2023
Multi-dimensional Fair Federated Learning Cong Su Guoxian Yu Jun Wang Hui Li Qingzhong Li Han Yu FedML 35 3 0 09 Dec 2023
Survey on AI Ethics: A Socio-technical Perspective Dave Mbiazi Meghana Bhange Maryam Babaei Ivaxi Sheth Patrik Kenfack 30 4 0 28 Nov 2023
Fair Text Classification with Wasserstein Independence Thibaud Leteno Antoine Gourru Charlotte Laclau Rémi Emonet Christophe Gravier FaML 32 2 0 21 Nov 2023
Loss Balancing for Fair Supervised Learning Mohammad Mahdi Khalili Xueru Zhang Mahed Abroshan FedML FaML 33 6 0 07 Nov 2023
Fair Streaming Principal Component Analysis: Statistical and Algorithmic Viewpoint Junghyun Lee Hanseul Cho Se-Young Yun Chulhee Yun 38 5 0 28 Oct 2023
Understanding Fairness Surrogate Functions in Algorithmic Fairness Wei Yao Zhanke Zhou Zhicong Li Bo Han Yong Liu 31 3 0 17 Oct 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools Maximilian Schambach Rakshit Naidu Rayid Ghani Kit T. Rodolfa Daniel E. Ho Hoda Heidari FaML 40 14 0 29 Sep 2023
DiffusionWorldViewer: Exposing and Broadening the Worldview Reflected by Generative Text-to-Image Models Zoe De Simone Angie Boggust Arvindmani Satyanarayan Ashia Wilson 36 1 0 18 Sep 2023
Boosting Fair Classifier Generalization through Adaptive Priority Reweighing Zhihao Hu Yiran Xu Mengnan Du Jindong Gu Xinmei Tian Fengxiang He 46 1 0 15 Sep 2023
Mitigating Group Bias in Federated Learning for Heterogeneous Devices Khotso Selialia Yasra Chandio Fatima M. Anwar FedML 42 2 0 13 Sep 2023
Scalable and Equitable Math Problem Solving Strategy Prediction in Big Educational Data Anup Shakya Vasile Rus Deepak Venugopal 33 2 0 07 Aug 2023
SYNAuG: Exploiting Synthetic Data for Data Imbalance Problems Moon Ye-Bin Nam Hyeon-Woo Wonseok Choi Nayeong Kim Suha Kwak Tae-Hyun Oh DiffM 27 3 0 02 Aug 2023
DBFed: Debiasing Federated Learning Framework based on Domain-Independent Jiale Li Zhixin Li Yibo Wang Yao Li Lei Wang FedML 22 0 0 10 Jul 2023
On The Impact of Machine Learning Randomness on Group Fairness Prakhar Ganesh Hong Chang Martin Strobel Reza Shokri FaML 38 30 0 09 Jul 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning Yifan Yang Peiyao Xiao Kaiyi Ji FedML 32 14 0 30 May 2023
Improving Fairness in AI Models on Electronic Health Records: The Case for Federated Learning Methods Raphael Poulain Mirza Farhan Bin Tarek Rahmatollah Beheshti FedML 30 21 0 19 May 2023
A statistical approach to detect sensitive features in a group fairness setting G. D. Pelegrina Miguel Couceiro L. Duarte 19 3 0 11 May 2023
Fairness through Aleatoric Uncertainty Anique Tahir Lu Cheng Huan Liu 48 11 0 07 Apr 2023
Re-weighting Based Group Fairness Regularization via Classwise Robust Optimization Sangwon Jung Taeeon Park Sanghyuk Chun Taesup Moon 13 19 0 01 Mar 2023
Same Same, But Different: Conditional Multi-Task Learning for Demographic-Specific Toxicity Detection Soumyajit Gupta Sooyong Lee Maria De-Arteaga Matthew Lease 32 13 0 14 Feb 2023
Fair Enough: Standardizing Evaluation and Model Selection for Fairness Research in NLP Xudong Han Timothy Baldwin Trevor Cohn 37 12 0 11 Feb 2023
Improving Fair Training under Correlation Shifts Yuji Roh Kangwook Lee Steven Euijong Whang Changho Suh 35 17 0 05 Feb 2023
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations Wenlong Deng Yuan Zhong Qianming Dou Xiaoxiao Li FaML 48 17 0 04 Jan 2023
On Penalization in Stochastic Multi-armed Bandits Guanhua Fang P. Li G. Samorodnitsky FaML 34 1 0 15 Nov 2022
Systematic Evaluation of Predictive Fairness Xudong Han Aili Shen Trevor Cohn Timothy Baldwin Lea Frermann 32 7 0 17 Oct 2022
Equal Improvability: A New Fairness Notion Considering the Long-term Impact Ozgur Guldogan Yuchen Zeng Jy-yong Sohn Ramtin Pedarsani Kangwook Lee FaML 37 13 0 13 Oct 2022